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Data Analyst Course in Delhi

84,718 Ratings

Rated #1 Data Analyst Course by Economic Times

This data analyst course in Delhi, in collaboration with IIT Roorkee, offers specialization in SQL, Linux, KNIME, Tableau, and R programming. It is taught by industry experts as well as faculty from IIT Roorkee. Certification for this training course will be provided by IIT Roorkee.

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Key Features

50+ Live sessions across 7 months
218 Hrs of Self-paced tutorial videos
Get 200 Hrs of Project & Exercises
Learn from industry professionals and IIT Faculty
1-on-1 sessions with industry mentors
LinkedIn profile review and resume assistance
24*7 Support
No-cost EMI Option
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Data Analyst Course in Delhi Overview

What will you cover in this data analyst course in Delhi?

In this online data analytics certification in Delhi, you will gain in-depth knowledge of the following topics:

  • Excel
  • Data wrangling with SQL
  • Presto (SQL Interface)
  • Intro to Data Science and Statistics
  • Business Problem Solving across different domains
  • Optimization techniques
  • Predictive Modelling
  • Time- Series Forecasting
  • Feature Engineering
  • Advanced Machine Learning Techniques
  • Data Science Execution Strategy
  • Business Case Studies
  • Power BI
  • Data Science Capstone Project

Those who are eligible to sign up for this data analytics course in Delhi are as follows:

  • Students who have completed their graduation or post-graduation and want to build a career in data analytics
  • Beginners in Data Analytics
  • IT Professionals
  • Finance and Banking Professionals
  • Sales Professionals
  • Supply Chain Network Managers
  • Marketing Managers

In today’s data-centric world, data analytics stands as a prominent field. To stay competitive in your career, gaining proficiency in data analytics is imperative, as it’s deployed in all industries. This online training program, offered by iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee) in collaboration with Intellipaat, provides real-world data analytics projects and case studies for hands-on experience.

  • A data analyst at Microsoft Corporation earns an average annual salary of $115,000 (Indeed).
  • The USA is currently experiencing a shortage of 165,000 data analysts and 1.5 million managers with data analysis skills (McKinsey).
  • There are over 30,000 job opportunities available for data analysts in the United States (LinkedIn).

Following are a few of the reasons why you should become a Data Analyst in Delhi:

  • Data analytics jobs may rise by 15% to about 5.27 million new job openings by the end of 2025 (IBM)
  • There are over 1,600 new job opportunities for data analyst in Delhi and about 10,852 jobs in India (Indeed)
  • The average income of a data analyst in Delhi is approximately ₹613k per annum  (Glassdoor)

So, enroll for the best data analytics course in Delhi and land your dream job as data analyst.

The average salary for a Data Analyst in the United States is around US$62,453 annually based on the research done by Glassdoor. This may even grow to US$ 95,000 per annum depending on the number of years of experience and quality of work done.

In India, the average salary for these professionals is about 5,03,000 rupees per year with experienced professionals earning 10,05,000 rupees per year.

Here are a couple of differences between data scientists, data analysts, and business analysts:

  • In terms of skill set, data analysts focus on business requirements, business analysts focus on historical data, and data scientists help make decisions based on the given data.
  • Data analysts work through the entire life-cycle of the data while business analysts work on designing, developing, analyzing, and reporting a business. Machine Learning system designers employ data scientists who do statistical analysis to create Machine Learning systems.
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Career Transition

55% Average Salary Hike

40 LPA Highest Salary

10000+ Career Transitions

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Career Transition Handbook

*Past record is no guarantee of future job prospects

What are the different job roles that I can apply for after this course?

Data Analyst

Data Analysts perform the entire life-cycle of data analysis, create reports and dashboards, identify trends, and monitor KPI metrics.

Data Scientist

A data scientist is responsible for performing statistical analysis to build machine learning systems statistical modeling to visualize insights and develop complex models from large datasets.

Data Analytics Specialist

A data analytics specialist collects, organizes, interprets, and summarizes numerical data to provide usable information.

Visualization and Reporting Analyst

Create data visualizations, such as reports, graphs, presentations, and dashboards, that are eye-catching, interactive, and easy to understand.

Business Intelligence Analyst

Identify, develop, and execute business analysis techniques to allow the team to make essential business decisions.

Business Analyst

Produce detailed reports and dashboards of high quality to give intuitive presentations.

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11+ Skills to Master

Proficient in SQL

Knowledge in Data Wrangling Techniques

Analyzing Complex Datasets

Predictive Models and Algorithms

Skilled in Data Visualization Techniques

Time Series Analysis and Forecasting

Strong Foundation in Machine Learning

Data Modeling and Reporting in Power BI

Expertise in Advanced Statistics

Data Mining Techniques

Statistical Computing

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Tools to Master

Adv Excel SQL Power BI 1 Presto python 1 Knime 1

Data Analyst Course Fees in Delhi

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 50+ Live sessions across 7 months of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
Weekday (Tue-Fri)

10 Dec 2024 07:00 AM - 09:00 AM
Weekend (Sat-Sun)

14 Dec 2024 10:00 AM - 01:00 PM
Weekend (Sat-Sun)

14 Dec 2024 08:00 PM - 11:00 PM
85,044 10% OFF Expires in

EMI Starts at

₹5,000

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs

Financing Partners

EMI Partner

The credit facility is provided by a third-party credit facility provider in Delhi and any arrangement with such third party is outside Intellipaat’s purview.

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Course Curriculum

Live Course Industry Expert Academic Faculty

Getting Started with Foundations of Data Analytics

Diving into Structured Query Language (SQL) for Data Management

Preview
  • Gain a basic understanding of SQL, including the Entity Relationship Model (ERM) and database normalization concepts
  • Elaborate SQL operators and demonstrate operations such as joins and subqueries
  • Learn how to use stored procedures, views, and SQL functions to manipulate and retrieve data efficiently
  • Explain SQL optimization strategies to improve performance and manage database concurrency to maintain data integrity, consistency, and isolation
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  • Exploring the basics of Python programming and how to set up IDEs. Also, understand the fundamental concepts of Python, such as syntax, data types, operators, and control structures
  • Grasping the Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, and polymorphism
  • Acquire practical experience with data manipulation using Python libraries such as NumPy and Pandas and learn to visualize data
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  • Learn the concepts of Descriptive Statistics, covering measures of Central Tendency, Dispersion, and Data Visualization Techniques, and understanding the application of probability for decision-making and statistical modeling
  • Dive into Inferential Advanced Statistics, including hypothesis testing and confidence intervals
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Learn Machine Learning Algorithms and Advanced Analytics Techniques

  • Understanding Fundamental of Machine Learning Concepts: Supervised and Unsupervised Learning, Model Evaluation, Clustering algorithms, and Feature Engineering
  • Learn Regression and its types (linear, logistic, and polynomial regression)
  • Explore Classification Algorithms, covering Decision Trees, Support Vector Machines, and Neural Networks
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  • Learn how to develop Classification reports using metrics such as Precision, Recall, Accuracy, Macro average, and Weighted Average
  • Describe how to Use the Confusion Matrix for Model Evaluation and Monitoring
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  • Performing time series data analysis, gathering insights and practical forecasting solutions using time series forecasting
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Implementing Real-world Business Applications, Case Studies, and Capstone Projects

  • Grasp different business domains such as finance, marketing, retail, and supply chain and articulate their distinct functions
  • Gain knowledge about formulating hypotheses for numerous business problems on samples and populations
  • Study about exploratory data analysis (EDA) and how it facilitates the foolproof production of actionable insights
  • Study how to narrate business problems and solutions in a simple, relatable format that makes them easier to understand, grasp, and recall
  • Develop actionable insights from raw, unstructured data to deploy real-world business solutions
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  • Define the problem statement and project objectives to contrast the scope of the data analytics capstone project. Alongside, build an approach to solving the problem by implementing optimal solutions using data analysis and modeling techniques
  • Use evaluation metrics and actionable insights to assess the performance of the optimal solutions
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  • In this case study on Customer churn, you will be using predictive modeling to find the causes of customer attrition to enhance customer retention
  • This case study on sales forecasting uses statistical methods and predictive analytics. It implements historical data and statistical techniques to predict future sales trends for better decision-making
  • Using Census Data for Demographic Insights, this case study analyzes demographic data to guide product development and targeted marketing strategies
  • This case study on predictive modeling focuses on real-world scenarios to improve decision-making and operational efficiency
  • This case study on HR Analytics uses workforce data to forecast turnover and improve recruitment and performance tactics
  • This case study on dimensionality reduction techniques illustrates the use of methods such as PCA to streamline datasets, improving model performance and efficiency
  • In this housing price prediction case study, implement statistical methods to predict real estate prices based on affecting factors
  • This case study on customer segmentation focuses on finding various customer segments for customized marketing and better experiences
  • In this inventory management case study, you will be using analytics to optimize inventory stocks, reduce capex and opex, and ensure product availability
  • In this case study on disease prediction, you will be implementing machine learning on patient data to analyze disease occurrence and take the necessary steps
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Elective

  • Mastering Excel For Data Analytics, Visualization, and VBA macros for automation
  • Explore the methods for ensuring data and file security
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  • Demonstrate Data Visualization and Analytics with Power BI for Managing Reports and Dashboards
  • Explore real-time applications of DAX in developing reports and dashboards
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  • Learning Job Search Strategies to establish networking and interview skills
  • Learn how to build an effective resume and manage a LinkedIn profile
  • Interview Preparation and Mock Interview Sessions Led by Industry Professionals
  • Placement opportunities with 400+ hiring partners upon passing the Placement Readiness Test (PRT)
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Project Work

Projects will be a part of your Data Analyst program to consolidate your learning. It will ensure that you have real-world experience in Data Analytics.

Career Services

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Offering Placement Assistance
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Get an Exclusive access to Intellipaat Job portal
Guide Mock Interview Preparation
1-on-1 Sessions for Career Mentoring
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Offering Career-Oriented Sessions
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Guide for Resume & LinkedIn Profile Building
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Data Analytics Certification in Delhi

Advanced Certification in Data Analytics Click to Zoom

Our Data Analytics courses, crafted by industry experts from leading MNCs, prepare professionals for top positions in renowned organizations. This online Data Analytics course features real-world projects and case studies highly esteemed in the corporate world.

Upon completion, you’ll earn the Data Analytics Certification from Intellipaat and iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee). Along with that, you will also be able to clear the following certifications:

  • SQL Certification
  • Power BI Certification

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Data Analytics Course in Delhi FAQs

Why should I take data analyst course in Delhi?

The Data Analytics course in Delhi is an industry-focused program designed by IIT Roorkee to fast-track your career in data analytics. Intellipaat’s data analytics courses are ideal if you do not want to get into the details of programming and extensive coding necessary for becoming a data analyst.

The online data analytics courses involve the following:

  1. Engage in real-life projects.
  2. Complete industry-grade assignments that are highly relevant in the corporate world.
  3. Apply for top data analyst and data science positions in leading MNCs.
  4. Enjoy lifetime access to the course and its materials, along with lifetime updates and 24/7 support.

Data analysis is the process of preparing raw data, converting the data into a format that is suitable for reporting, and presenting the data in such a way that it can help decision-making in a business.

Data analytics is simply the process of analyzing data to draw conclusions and make business decisions. It consists of methods and technologies for processing data sets, identifying trends, and identifying knowledge that can be applied to business and organizational activities.

The tools used for data analysis make the tasks of data processing, data manipulation, data analysis, and pattern and trend identification much easier. Some of the top data analysis tools are

  • QlikView
  • Excel
  • Tableau Public
  • Apache Spark
  • SAS
  • Splunk
  • RapidMiner
  • KNIME
  • R programming

Data Analytics: Data analytics is the process of collecting, examining, analyzing, and interpreting data with the aim of drawing conclusions that can be used to inform decisions and actions in business.

Data Analysis: Data analysis refers to a specific aspect of the data analytics. It entails specific processes such as data cleaning, transformation, modeling, and querying to get insights from an already pre-processed dataset.

Data Analysts: Data analysts are people with analytical skills who can convert data into useful information. They have both the technical knowledge and the communication skills to analyze and communicate quantitative information to fellow quantitative and non-quantitative consumers of quantitative information, including clients and stakeholders.

This data analyst course in Delhi teaches data cleaning, visualization, statistical analysis, and machine learning. Completing the program enables you to demonstrate mastery of these areas and prepares you for jobs in data analysis.

A career in the data analytics domain is not only a good choice but also one of the most sought-after careers today. There are numerous companies across various industries worldwide where graduates of a master’s in data analytics course can find employment.

The projected growth rate for data analytics professionals, as predicted by the US Bureau of Labor Statistics, is 23% by the year 2026.

If you are looking for free resources on Data Analytics, then read our blogs on Data Analytics tutorial, Data Analytics Interview Questions, and also visit our YouTube channel for free videos.

To work as a data analyst, you should follow these steps:

  • Earn a Bachelor’s or Master’s degree in statistics, computer science, or a related IT field.
  • Develop essential data analytics skills.
  • Gain practical experience in data analytics.
  • Consider obtaining certification from a reputable institution.

You can attain all the necessary skills, gain real-time experience, and receive a certification with the help of Intellipaat’s Data Science with Python.

Having a college degree in the field of mathematics, probability, or computer science can definitely be beneficial. However, it is not mandatory for you to have the same. The main requirement of becoming a data analyst is that you need to possess the necessary skills in this domain. So, having a degree by enrolling yourself in data science training courses can help you immensely, however, it is still a secondary requirement.

Yes, our data analyst training in Delhi offers flexible schedules, allowing you to pursue the course while working full-time. The program is designed to accommodate diverse learning needs, making it accessible for working professionals.

Yes, we provide online options for our data analyst course in Delhi, enabling remote learning and flexibility. You can access the course materials and participate in sessions from anywhere, making it convenient for those who prefer online learning.

Our data analyst course in Delhi equips you with essential skills in data cleaning, visualization, statistical analysis, and machine learning. Completing the program demonstrates your proficiency in these areas, qualifying you for roles in data analysis.

Our data analyst course in Delhi is taught by industry experts and experienced professionals who bring real-world insights to the classroom. You will benefit from their practical knowledge and receive guidance to navigate the complexities of data analysis.

Intellipaat provides a wide range of Data Scientist courses in Delhi for aspiring Data Scientists. In addition to the Data Analytics course, we provide comprehensive programs in areas such as data science, machine learning, R programming, Business Analytics, and other project-based training.

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Data Analytics Course in Delhi

Delhi, India’s vibrant capital city, stands as a symbol of livability and economic growth. Situated beside the Yamuna River, Delhi accommodates a population exceeding 20 million, connected by the Delhi Metro.

The IT industry has played a key role in Delhi’s economic success, with over 9 lakh IT workers helping to build a strong economy. With a projected growth rate of 10.5%, Delhi is positioned for even greater success in the years to come.

Delhi’s culture and heritage display a mix of Mughal grandeur and British colonial charm. This is seen in landmarks like the Red Fort and Connaught Place. Following are some of the most lively places in Delhi: